Diagnostic Pattern
"We rolled out AI and nothing really changed"
The symptom is real. The cause is usually somewhere else.
The tools are licensed, the training happened, adoption is reported, and the business runs exactly as it did before. It looks like an adoption or training gap. It may actually be that nobody changed the work the tool was supposed to change.
What you think it is
We rolled out AI across the team and, honestly, nothing really changed.
So you buy more training, evaluate a different vendor, or publish a policy telling people to use it.
What it usually is
A hypothesis to test, not an indictment on you or the team.
Tools do not change behavior; changed work changes behavior. Look at it through capability, opportunity and motivation: people may now be capable and even willing, but if the process, the expectations and the definition of done all stayed the same, there is no opportunity to work differently and the old way remains the rational choice. Training is not behavior change either - it is capability, which is one of the three. The honest test is not licenses issued or logins recorded, it is whether a specific task is done differently now, by a named person, who stopped doing something else.
How to tell
Name one task that is genuinely done differently today than before the rollout. Who does it, and what did they stop doing to make room for it?
The move
Pick one workflow and redesign it end to end so the new way is the easy way and the old way is genuinely gone. Change what good looks like and what gets measured. One task actually changed beats a rollout that touched everybody and moved nothing.
You might think this is an adoption problem. It may actually be that the work never changed, so there was nothing to adopt.
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